| Title |
Diagnosing hereditary cancer predisposition in men with prostate cancer
|
|---|---|
| Published in |
Genetics in Medicine, May 2020
|
| DOI | 10.1038/s41436-020-0830-5 |
| Pubmed ID | |
| Authors |
Mary Pritzlaff, Yuan Tian, Patrick Reineke, A. J. Stuenkel, Kyle Allen, Stephanie Gutierrez, Michelle Jackson, Jill S. Dolinsky, Holly LaDuca, Jianfeng Xu, Mary Helen Black, Brian T. Helfand |
X Demographics
The data shown below were collected from the profiles of 43 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 21% |
| United Kingdom | 3 | 7% |
| Brazil | 2 | 5% |
| Spain | 2 | 5% |
| Canada | 1 | 2% |
| Greece | 1 | 2% |
| Taiwan | 1 | 2% |
| Mexico | 1 | 2% |
| Oman | 1 | 2% |
| Other | 7 | 16% |
| Unknown | 15 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 58% |
| Scientists | 8 | 19% |
| Practitioners (doctors, other healthcare professionals) | 7 | 16% |
| Science communicators (journalists, bloggers, editors) | 3 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 13% |
| Student > Ph. D. Student | 6 | 13% |
| Researcher | 5 | 11% |
| Other | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Other | 8 | 17% |
| Unknown | 12 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 33% |
| Medicine and Dentistry | 10 | 22% |
| Nursing and Health Professions | 3 | 7% |
| Psychology | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 14 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 September 2020.
All research outputs
#1,533,869
of 25,387,668 outputs
Outputs from Genetics in Medicine
#508
of 2,945 outputs
Outputs of similar age
#44,128
of 425,052 outputs
Outputs of similar age from Genetics in Medicine
#21
of 86 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 425,052 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.